Spaces:
Runtime error
Runtime error
File size: 838 Bytes
2a42c92 2ff8ae9 9c4a63b 2a42c92 2ff8ae9 9c4a63b 0302379 2ff8ae9 bf02e71 2ff8ae9 179b0f6 2ff8ae9 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 |
import subprocess
import sys
subprocess.check_call([sys.executable, "-m", "pip", "install", "fastai"])
from fastai.vision.all import *
import gradio as gr
__all__ = ['is_cat', 'label', 'image', 'intf', 'examples', 'categories', 'learn']
def is_cat(x): return x[0].isupper()
learn = load_learner('my_model.pkl')
categories = ('Healthy Fungi', 'Poisonous Fungi')
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
from gradio.components import Image, Label
label = Label()
image = Image() #shape = (192, 192)
examples=[
"healthy_fungi.jpg", "Death-cap-mushroom.jpg"]
intf = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples)
# Launch the web interface with the image and label components
intf.launch(inline = False) |